1,911 to 1,920 of 2,425 Results
Jan 14, 2022 - Universidad de Alcalá
Masao, Catherine A.; Prescott, Graham W.; Snethlage, Mark A.; Urbach, Davnah; Torre-Marin Rando, Amor; Molina-Venegas, Rafael; Mollel, Neduvoto P.; Hemp, Claudia; Hemp, Andreas; Fischer, Markus, 2026, "Data for Stakeholder Perspectives on Nature, People, and Sustainability at Mount Kilimanjaro", https://doi.org/10.5281/ZENODO.5846443
Title: Data for ‘Stakeholder Perspectives on Nature, People, and Sustainability at Mount Kilimanjaro’ Recommended Citation: Masao CA, Prescott GW, Snethlage MA, Urbach D, Torre-Marin Rando A, Molina-Venegas R, Mollel NP, Hemp C, Hemp A, Fischer M (2022). People and Nature. Principal Investigator: - Markus Fischer (markus.fischer@ips.unibe.ch) Autho...Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Jan 13, 2022 - Universidad Carlos III de Madrid
Velasco, Francisco J., 2022, "J Molec Liq 117856 2022", https://doi.org/10.21950/IAXM05, e-cienciaDatos, V2
Numerical data files were obtained from electrochemical measurements and DFT calculations. XPS and FTIR data were obtained from direct measurements of surfaces. SEM images and consequent EDS analysis were taken on steel surfaces after immersion in inhibitor-containing solution. DFT images were obtained directly from direct analysis as explained in... |
Jan 13, 2022 - BURNED AREA REFERENCE DATABASE (BARD)
Stroppiana, Daniela; Sali, Matteo; Busetto, Lorenzo; Boschetti, Mirco; Franquesa Fuentetaja, Magi, 2022, "FireCCI_Africa_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Africa continental for the year 2019", https://doi.org/10.21950/VKFLCH, e-cienciaDatos, V1
The FireCCI_Africa_2019_S2 reference dataset was derived from S2 images over a set of 50 tiles (sampling units) sampled following a design customized for the Sentinel tiling grid system and to represent major fire regimes of the African continent in the different ecoregions. Over each tile S2 time series were defined based on a set of conditions fo... |
Jan 12, 2022 - BURNED AREA REFERENCE DATABASE (BARD)
Franquesa Fuentetaja, Magi; Vanderhoof, M.K.; Stavrakoudis, D.; Gitas, I.; Roteta, E.; Padilla, M.; Chuvieco, Emilio, 2020, "BARD: a global and regional validation burned area database", https://doi.org/10.21950/BBQQU7, e-cienciaDatos, V7
The FireCCI project is part of the European Space Agency's (ESA) Climate Change Initiative (CCI) programme. The project focuses on the Fire Disturbance Essential Climate Variable(ECV) and specifically on 'Burned Area' (BA) products. The main objective of the FireCCI project is the development and improvement of the burned area detection algorithms,... |
Dec 28, 2021 - Universidad de Alcalá
Peters, Jens F.; Baumann, Manuel; Binder, Joachim; Weil, Marcel, 2021, "On the environmental competitiveness of Sodium-Ion batteries under a full life cycle perspective – A cell-chemistry specific modelling approach", https://doi.org/10.5281/ZENODO.4742245
This upload provides the full supplementary information and the MS-Excel based cell dimenioning tool used in the underlying publication (Environmental impacts of Sodium-Ion Batteries – Advances in production, use and recyclability) It is based on the BatPac-Tool created by Argonne National Laboratories, but with some substantial modifications: Redu...Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Dec 20, 2021 - Universidad Carlos III de Madrid
Giulia, Lo Dico; Siska, Croubels; Verónica, Carcelén; Maciej, Haranczyk, 2021, "Machine learning-aided design of composite mycotoxin detoxifier material for animal feed", https://doi.org/10.5281/ZENODO.5793955
Model codes and dataset associated to "Machine learning-aided design of composite mycotoxin detoxifier material for animal feed, Giulia Lo Dico, Siska Croubels, Verónica Carcelén, and Maciej Haranczyk, Sci. Rep., 2022".Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Dec 16, 2021 - Yearly Local Disturbance index datasets
Guerrero Ortega, Antonio; Cid Tortuero, Consuelo; Saiz Villanueva, Elena, 2021, "Local Geomagnetic index (LDi) for 1992 at different locations", https://doi.org/10.21950/1GVXGL, e-cienciaDatos, V1
This local geomagnetic index indicates the perturbation of the geomagnetic field (horizontal component) for several locations. It is a measure of the external to the Earth irregular geomagnetic variations. It is obtained after removing a baseline and the daily regular variation from observed measurements. See also Files description. |
Dec 16, 2021 - Yearly Local Disturbance index datasets
Guerrero Ortega, Antonio; Cid Tortuero, Consuelo; Saiz Villanueva, Elena, 2021, "Local Geomagnetic index (LDi) for 1991 at different locations", https://doi.org/10.21950/R2P5RG, e-cienciaDatos, V1
This local geomagnetic index indicates the perturbation of the geomagnetic field (horizontal component) for several locations. It is a measure of the external to the Earth irregular geomagnetic variations. It is obtained after removing a baseline and the daily regular variation from observed measurements. See also Files description. |
Dec 16, 2021 - Yearly Local Disturbance index datasets
Guerrero Ortega, Antonio; Cid Tortuero, Consuelo; Saiz Villanueva, Elena, 2021, "Local Geomagnetic index (LDi) for 1993 at different locations", https://doi.org/10.21950/ILN0VZ, e-cienciaDatos, V1
This local geomagnetic index indicates the perturbation of the geomagnetic field (horizontal component) for several locations. It is a measure of the external to the Earth irregular geomagnetic variations. It is obtained after removing a baseline and the daily regular variation from observed measurements. See also Files description. |
